Several authors have proposed reactive systems based on intention
recognition.
[1]} provide a framework for general proactive support in
human-robot teaming based on task decomposition, where priorities of
sub-tasks depend on the current situation. The robot re-prioritizes its
own goals to support humans according to recognized intentions.
Intentions are recognized by Bayesian inference following
[2]}. Each goal's probability depends on the agent's
past and/or current belief, and the goal with the highest probability
from a candidate goal set is recognized as the current intention. Our
framework is similar to [1]} in linking intention
recognition with the proactive behavior of the robot. In our case,
however, the robot does not have its own independent tasks to achieve:
the robot's only objective is to help the human proactively by enacting
actions to reach their goal.
